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Socio-economic analysis of the Lebanese fishing fleet

EastMed Technical Documents No. 16








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    EastMed Project Technical Document No 16: Socio-economic analysis of the Lebanese fishing fleet 2013
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    This study was implemented after the EastMed 2nd co-ordination meeting on the 5-6th April, Antalya, Turkey (EastMed 2012), where the participants agreed to have a preliminary assessment of the economic situation of the Lebanese fisheries sector. In order to undertake such an assessment an economic survey based on direct interviews was conducted from March to May 2012. The study was split up into two phases. In the first phase the information on the technical characteristics of the most recent fl eet was obtained. This was then followed by the second and main phase which included the socioeconomic sample survey and the socio-economic analysis. The licensed fishing fleet of 2011 was stratified according to the GFCM task I fleet segmentation, after which the population of vessels was randomly sampled and direct interviews based on a questionnaire were conducted. The results showed that in general the Lebanese fishing fleet is making a profit of about 24% of the revenue which is comparable to other fleets in the Mediterranean of similar characteristics. It is a family based fishery, where the owners of the vessels, are directly involved in the fishing activity, with the assistance of family members, there is a non aging fishers’ population, and a low level of education. The income per fisher-owner (7,400 USD) and fisher (3,000 USD) is 20% and 70% respectively less than the national GDP per capita, furthermore a fisher earns about 25% less than the minimum wage of the country. In t his respect the fishers in Lebanon are present in both the lower-middle class (fisher-owners) and the lower class (fisher), where the latter are part of the poorest section of society. The auction market is the main channel used to sell the product, however the whole value chain should be studied in more detail. The salaries of the fishers should be increased by increasing the revenue and this can be accomplished either by increasing the prices or the quantity of production. The latter seems to be a more plausible solution and can be achieved by improving the sustainable exploitation of the stocks and exploring the possibility to exploit new fishing grounds such as the deep water grounds (> 200 m) and offshore waters for large pelagic species.
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    A subregional analysis of the socio-economic situation of the eastern Mediterranean fisheries 2020
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    A comparative analysis of socioeconomic indicators of the main fishing fleets in eastern Mediterranean countries was carried out by experts from Egypt, Lebanon, Palestine, Turkey and Italy during the EastMed Working Group on Fisheries Data Analysis, FAO, Rome, 10 to 14 September 2018. The fisheries production in the subregion in 2016 totalled 449 400 tonnes, with a cumulative value of USD 1.2 billion. The fishing fleet comprised 36 143 vessels which operated for three million days and directly generated a total of 66 383 jobs, calculated on a full-time basis. When comparing the value added per fisheries worker to the same indicator calculated for agriculture, the performance of the fisheries sector was stronger than that of agriculture in Egypt and Turkey. In all the other countries, the value added per agricultural worker was markedly higher than that generated by fisheries. Overall, Turkey had the most profitable fleet segments in the region. In terms of fuel efficiency, Turkey and Lebanon performed well, probably as a result of a number of factors, including the fishing areas and the targeted species. The salary per fisher against the minimum wage showed the best performance in Egypt, where a fisher on average earned double the minimum wage paid by the manufacturing sector. On the other hand, in Palestine the average salary of a fisher was below the minimum wage and dangerously close to the international poverty line. In most cases, the small-scale fleets performed steadily, with some indicators above the national average.

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